Medra
Medra vs. Generic WhatsApp chatbot

Your chatbot doesn’t talk. It interrogates.

“Choose an option from 1 to 5.” Your customers know it, hate it and leave. A generic chatbot automates replies. A Medra agent automates outcomes: it sells, collects, retains and resolves, the way your best person would.

Head to headChatbotMedra
Understands voice notesNoYes
Remembers every customerNoYes
Starts the conversationNoYes
Acts inside your systemsNoYes
Hands off to humans with contextNoYes
96%of conversations handled 100% by the AI. The rest go to your team, with full context.
No menusUnderstands voice notes and documentsMemory for every customerTalks like a personEscalates to humans with contextEvery languageOptimizes against your KPI
Same customer, same problem

Martina sends a voice note: her order arrived incomplete. Watch what happens.

Generic chatbot

Virtual Assistantbot · replies instantly
Conversation abandoned · Customer lost

Medra agent

Sofia · Supportonline
Resolved · Customer retained · No human needed
Architecture

A chatbot follows a tree. When the customer steps off the tree, it breaks. A Medra agent reasons over the full context.

Generic chatbot
Main menu1. Sales2. SupportOption AOption BOption COption D✕✕✕?“I didn’t understand. Please choose an option.”

Rigid, blind, no memory

Every unplanned case is a dead end. It doesn’t know who the customer is, what they bought or what happened last time.

Medra agent
CRM and ordersFull historyVoice notesPoliciesGoal and KPIHuman handoffDocumentsEvery channel

Full context, real decisions

It reads the account, listens to the audio, applies your policies, acts in your systems and knows when to call a human.

Capabilities

A chatbot sees a message. Medra sees the account, the history and the goal.

Talks like a person

Takes a few minutes to reply, writes naturally and adapts its tone. Your customers can’t tell the difference.

Chatbot: instant, robotic replies

Understands voice notes and documents

Audio, photos, receipts and PDFs. Customers communicate the way they want, not the way the bot allows.

Chatbot: “Please type your question”

Remembers every customer

Recalls every previous conversation, on any channel. Never asks for what it already knows.

Chatbot: every message starts from zero

Chases a business goal

The autonomous agent decides who to contact, when, with which argument and on which channel, then measures itself against your KPI.

Chatbot: waits to be messaged

One agent, every channel

WhatsApp, calls, email, SMS, Instagram, web and Slack, with the same context everywhere.

Chatbot: WhatsApp only, and barely

Humans at the right moment

On a complex case, your specialist is alerted via Slack, email or in-app notification, with a summary and a classification, and steps in instantly.

Chatbot: “Please wait 47 minutes for an agent”

Tested against attacks

Adversarial stress testing in a sandbox: prompt injection, data extraction, emotional pressure. Before it ever touches a real customer.

Chatbot: promises discounts that don’t exist

Plugged into your stack

Salesforce, HubSpot, BigQuery, Odoo, PostgreSQL and more. It reads data, executes actions and returns structured information.

Chatbot: an island nobody measures
By the numbers

What a generic chatbot can’t show you.

96%of conversations handled end to end by the AI
19+countries with live operations
40+enterprise deployments
SOC 2Type II. Security certified, not promised.
Self-diagnosis

Is your chatbot generic? Check what sounds familiar.

Check the symptoms to see the diagnosis.
McKinsey says it in other words

More than 80% of companies see no real impact from AI. One of the reasons: horizontal tools like chatbots that get installed everywhere and move no numbers.

McKinsey & Company, “Seizing the agentic AI advantage”, 2025.

Side by side

Point by point.

CriteriaGeneric chatbotMedra
How it talksMenus and keywordsNatural language, like your best person
Voice notes and documentsDoesn’t understand themUnderstands them and acts on them
Customer contextNoneCRM, history and memory across channels
InitiativeReactive onlyReaches out, follows up and chases your KPI
How it is builtA configurable templateCustom-built for your commercial process
Human handoffA queue, with no contextSlack, email or in-app notification with summary and classification
Languages and marketsOne or twoEvery language, 19+ countries
SecurityDepends on the vendorSOC 2 Type II and adversarial stress testing
Team behind itA support ticketCommercial and AI experts dedicated to your account
OutcomeMessages answeredSales, collections, retention, measurable results

Stop answering messages. Start closing conversations.

We’ll show you your own use case running on a Medra agent. 30 minutes, no strings attached.